Detection of buildings in forest areas – the case of Stolowe Mountains National Park

Krzysztof Stereńczak
Warsaw University of Life Science – SGGW
Faculty of Forestry
Poland

Mariusz Ciesielski
Warsaw University of Life Science – SGGW
Minimal Studio Architects
Poland

Katarzyna Zalewska
Warsaw University of Life Science – SGGW
Minimal Studio Architects
Poland

Abstract

Growing pressure for investment in forest areas will increase the number of buildings, including primarily residential buildings to be are built without necessary permits or, in the enumerated cases, consents of the competent authority to begin the investment process. The problem of illegal buildings in forest areas concerns an increasing number of forest districts in Poland.
The purpose of this study was the detection of buildings in areas with significant forest cover, located in the vicinity of the Stołowe Mountains National Park. The selection of method for detection of buildings in the study had to consider primarily the elimination of vegetation. For this purpose, the data from the airborne laser scanner data and CIR orthophotomap with a resolution of 0.6 m were used. Point cloud data were processed several times to select objects with a minimum height of 2 m. NDVI (Normalized Differenced Vegetation Index) was used for vegetation elimination. The analysis was conducted on two plots, where one area was used as a test set, and the second area - as verification set. Processing of materials was carried out in ArcGIS 10 and a model for buildings detection was developed.
Building detection accuracy was about 80%. These results combined with data from the cadastre would help to identify potential sites for land use violations.

Keywords:

airborne laser scanning; unregistered buildings; image composition; NDVI

Full Text:

PDF (Polish)

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